Bayesian Methods for Statistical Analysis
Borek Puza

Bayesian
Methods for Statistical Analysis is a book on statistical
methods for analysing a wide variety of data. The book consists of 12
chapters, starting with basic concepts and covering numerous topics,
including Bayesian estimation, decision theory, prediction, hypothesis
testing, hierarchical models, Markov chain Monte Carlo methods, finite
population inference, biased sampling and nonignorable nonresponse. The book
contains many exercises, all with worked solutions, including complete
computer code. It is suitable for self-study or a semester-long course, with
three hours of lectures and one tutorial per week for 13 weeks.